In [1]:
from IPython.display import HTML, display,Image
HTML('''<script>
code_show=true;
function code_toggle() {
if (code_show){
$('div.input').hide();
} else {
$('div.input').show();
}
code_show = !code_show
}
$( document ).ready(code_toggle);
</script>
<form action="javascript:code_toggle()"><input type="submit" value="Click here to toggle on/off the raw code."></form>''')
Out[1]:
In [41]:
HTML("""
<style>
.output_png {
display: table-cell;
text-align: center;
vertical-align: middle;
}
</style>
""")
Out[41]:
In [42]:
import warnings
warnings.filterwarnings('ignore')
In [43]:
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
import xarray as xr
from matplotlib import animation
import cartopy.crs as ccrs
import cartopy
import cartopy.feature as cfeature
import pandas as pd
import matplotlib.gridspec as gridspec
import os.path
from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
from matplotlib.dates import DateFormatter
import matplotlib.dates as mdates
xr.set_options(display_style="html")
# Set common figure parameters
plt.style.use('seaborn-ticks')
newparams = { 'axes.grid': True,
'lines.linewidth': 1.5, 'lines.linewidth': 2,
'ytick.labelsize':15,
'xtick.labelsize':15,
'axes.labelsize':16,
'axes.titlesize':16,
'legend.fontsize':14,
'figure.titlesize':16,
'font.family':'Helvetica Light'}
# 'font.family':'DejaVu Sans'}
plt.rcParams.update(newparams)
In [44]:
try:
import seawater
except ModuleNotFoundError:
!pip install seawater # the install function from the question
In [45]:
def simpleaxis(ax):
ax.spines['bottom'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.get_xaxis().tick_top()
ax.get_yaxis().tick_left()
ax.xaxis.set_label_position('top')
In [46]:
def zoomed_ax(ax_padre,ax_hijo,location,limits_x,limits_y,color):
ax=ax_padre.inset_axes(location, transform=ax_padre.transData)
ax.set_facecolor((1, 1, 1,0))
ax.set(xlim=limits_x,ylim=limits_y,xticklabels=[],yticklabels=[],xticks=[],yticks=[])
ax_hijo.set(xlim=limits_x,ylim=limits_y,xticklabels=[],yticklabels=[],xticks=[],yticks=[])
ax.invert_yaxis()
ax.indicate_inset_zoom(ax_hijo, edgecolor=color)
return ax_padre,ax_hijo,ax
Downloading data¶
Argo is a real-time global ocean in situ observing system.
Argo is a global network of nearly 4000 autonomous probes measuring pressure, temperature and salinity from the surface to 2000m depth every 10 days. The localisation of these probes is nearly random between the 60th parallels (see live coverage here). All probes data are collected by satellite in real-time, processed by several data centers and finally merged in a single dataset (collecting more than 2 millions of vertical profiles data) made freely available to anyone through a ftp server or monthly zip snapshots.
In [47]:
import wget
name_file='nodc_5906017_prof.nc'
print('Verifing existence of {}'.format(name_file))
print('..')
print('..')
print('..')
if os.path.isfile(name_file) == False:
file=wget.download('https://www.ncei.noaa.gov/data/oceans/argo/gadr/data/aoml/5906017/nodc_5906017_prof.nc')
print("The file {} was just downloaded".format(file))
else:
print("The file {} already is in the directory".format(name_file))
Verifing existence of nodc_5906017_prof.nc .. .. .. The file nodc_5906017_prof.nc already is in the directory
Reading data¶
All information obtained from .nc file is printed below:
In [48]:
data = xr.open_dataset('nodc_5906017_prof.nc')
data
Out[48]:
xarray.Dataset
- n_calib: 1
- n_history: 0
- n_levels: 511
- n_param: 3
- n_prof: 57
- data_type()object...
- long_name :
- Data type
- conventions :
- Argo reference table 1
array(b'Argo profile ', dtype=object)
- format_version()object...
- long_name :
- File format version
array(b'3.1 ', dtype=object)
- handbook_version()object...
- long_name :
- Data handbook version
array(b'1.2 ', dtype=object)
- reference_date_time()object...
- long_name :
- Date of reference for Julian days
- conventions :
- YYYYMMDDHHMISS
array(b'19500101000000', dtype=object)
- date_creation()object...
- long_name :
- Date of file creation
- conventions :
- YYYYMMDDHHMISS
array(b'20190401200032', dtype=object)
- date_update()object...
- long_name :
- Date of update of this file
- conventions :
- YYYYMMDDHHMISS
array(b'20200914050034', dtype=object)
- platform_number(n_prof)object...
- long_name :
- Float unique identifier
- conventions :
- WMO float identifier : A9IIIII
array([b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 ', b'5906017 '], dtype=object) - project_name(n_prof)object...
- long_name :
- Name of the project
array([b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo ', b'UW, Argo '], dtype=object) - pi_name(n_prof)object...
- long_name :
- Name of the principal investigator
array([b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER ', b'STEPHEN RISER '], dtype=object) - station_parameters(n_prof, n_param)object...
- long_name :
- List of available parameters for the station
- conventions :
- Argo reference table 3
array([[b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL '], [b'PRES ', b'TEMP ', b'PSAL ']], dtype=object) - cycle_number(n_prof)float64...
- long_name :
- Float cycle number
- conventions :
- 0...N, 0 : launch cycle (if exists), 1 : first complete cycle
array([ 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27., 28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41., 42., 43., 44., 45., 46., 47., 48., 49., 50., 51., 52., 53., 54., 55., 56., 57.]) - direction(n_prof)object...
- long_name :
- Direction of the station profiles
- conventions :
- A: ascending profiles, D: descending profiles
array([b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A'], dtype=object) - data_centre(n_prof)object...
- long_name :
- Data centre in charge of float data processing
- conventions :
- Argo reference table 4
array([b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO', b'AO'], dtype=object) - dc_reference(n_prof)object...
- long_name :
- Station unique identifier in data centre
- conventions :
- Data centre convention
array([b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 ', b'7700 '], dtype=object) - data_state_indicator(n_prof)object...
- long_name :
- Degree of processing the data have passed through
- conventions :
- Argo reference table 6
array([b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B ', b'2B '], dtype=object) - data_mode(n_prof)object...
- long_name :
- Delayed mode or real time data
- conventions :
- R : real time; D : delayed mode; A : real time with adjustment
array([b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A'], dtype=object) - platform_type(n_prof)object...
- long_name :
- Type of float
- conventions :
- Argo reference table 23
array([b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX ', b'APEX '], dtype=object) - float_serial_no(n_prof)object...
- long_name :
- Serial number of the float
array([b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 ', b'8308 '], dtype=object) - firmware_version(n_prof)object...
- long_name :
- Instrument firmware version
array([b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 ', b'102918 '], dtype=object) - wmo_inst_type(n_prof)object...
- long_name :
- Coded instrument type
- conventions :
- Argo reference table 8
array([b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 ', b'846 '], dtype=object) - juld(n_prof)datetime64[ns]...
- long_name :
- Julian day (UTC) of the station relative to REFERENCE_DATE_TIME
- standard_name :
- time
- conventions :
- Relative julian days with decimal part (as parts of day)
- resolution :
- 0.0
- axis :
- T
array(['2019-03-23T02:09:52.000000000', '2019-03-24T05:51:57.999999744', '2019-03-25T09:42:43.000000000', '2019-04-04T07:57:52.000000256', '2019-04-14T06:20:32.000000000', '2019-04-24T04:42:36.000000000', '2019-05-04T02:56:54.000000000', '2019-05-14T01:14:34.000000000', '2019-05-23T23:43:01.000000000', '2019-06-02T22:37:26.000000000', '2019-06-12T21:06:07.000000000', '2019-06-22T19:33:55.000000000', '2019-07-02T17:53:24.000000256', '2019-07-12T16:40:49.000000000', '2019-07-22T15:15:21.000000000', '2019-08-01T13:50:04.000000256', '2019-08-11T12:19:29.000000000', '2019-08-21T10:45:08.000000000', '2019-08-31T09:26:25.999999744', '2019-09-10T08:12:07.000000000', '2019-09-20T07:05:03.000000000', '2019-09-30T06:14:31.999999744', '2019-10-10T05:27:06.000000000', '2019-10-20T04:42:22.999999744', '2019-10-30T04:13:53.000000000', '2019-11-09T03:55:33.000000000', '2019-11-19T04:00:41.000000000', '2019-11-29T04:23:43.000000000', '2019-12-09T04:39:19.000000000', '2019-12-19T04:35:23.000000000', '2019-12-29T04:58:03.000000000', '2020-01-08T04:12:35.999999744', '2020-01-18T04:03:53.000000000', '2020-01-28T03:38:39.000000000', '2020-02-07T03:24:15.000000000', '2020-02-17T03:19:38.000000000', '2020-02-27T03:10:21.000000000', '2020-03-08T02:39:45.000000000', '2020-03-18T03:05:48.000000000', '2020-03-28T02:41:13.999999744', '2020-04-07T03:08:14.000000000', '2020-04-17T02:47:23.000000000', '2020-04-27T02:53:37.000000000', '2020-05-07T03:19:57.000000000', '2020-05-17T03:58:51.000000000', '2020-05-27T02:58:56.000000000', '2020-06-06T02:52:15.000000000', '2020-06-16T02:21:38.000000000', '2020-06-26T02:10:18.000000000', '2020-07-06T01:26:08.000000256', '2020-07-16T01:25:23.000000000', '2020-07-26T00:53:15.000000000', '2020-08-05T00:45:09.000000000', '2020-08-14T23:50:58.000000000', '2020-08-24T23:35:57.999999744', '2020-09-03T22:49:20.000000000', '2020-09-13T22:38:46.000000000'], dtype='datetime64[ns]') - juld_qc(n_prof)object...
- long_name :
- Quality on date and time
- conventions :
- Argo reference table 2
array([b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1'], dtype=object) - juld_location(n_prof)datetime64[ns]...
- long_name :
- Julian day (UTC) of the location relative to REFERENCE_DATE_TIME
- conventions :
- Relative julian days with decimal part (as parts of day)
- resolution :
- 0.0
array(['2019-03-23T02:22:30.000000000', '2019-03-24T06:04:30.000000000', '2019-03-25T09:55:29.999999744', '2019-04-04T08:10:30.000000000', '2019-04-14T06:33:10.000000000', '2019-04-24T04:54:59.999999744', '2019-05-04T03:09:10.000000000', '2019-05-14T01:26:30.000000000', '2019-05-23T23:56:30.000000000', '2019-06-02T23:03:50.000000000', '2019-06-12T21:18:20.000000000', '2019-06-22T19:46:30.000000000', '2019-07-02T18:06:30.000000000', '2019-07-12T16:54:00.000000000', '2019-07-22T15:28:00.000000256', '2019-08-01T14:02:30.000000000', '2019-08-11T12:32:10.000000000', '2019-08-21T10:57:39.999999744', '2019-08-31T09:39:00.000000000', '2019-09-10T08:38:30.000000000', '2019-09-20T07:17:30.000000000', '2019-09-30T06:26:30.000000256', '2019-10-10T05:39:40.000000000', '2019-10-20T04:54:50.000000000', '2019-10-30T04:25:50.000000000', '2019-11-09T04:08:10.000000000', '2019-11-19T04:13:00.000000256', '2019-11-29T04:37:30.000000000', '2019-12-09T04:52:30.000000000', '2019-12-19T05:01:50.000000256', '2019-12-29T05:11:40.000000000', '2020-01-08T04:25:00.000000000', '2020-01-18T04:16:30.000000000', '2020-01-28T03:52:00.000000000', '2020-02-07T03:36:30.000000000', '2020-02-17T03:32:40.000000000', '2020-02-27T03:23:30.000000000', '2020-03-08T02:52:00.000000000', '2020-03-18T03:19:10.000000000', '2020-03-28T03:08:50.000000000', '2020-04-07T03:20:30.000000000', '2020-04-17T02:59:30.000000000', '2020-04-27T03:06:30.000000000', '2020-05-07T03:32:59.999999744', '2020-05-17T04:12:00.000000000', '2020-05-27T03:11:00.000000000', '2020-06-06T03:05:00.000000000', '2020-06-16T02:34:10.000000000', '2020-06-26T02:23:00.000000000', '2020-07-06T01:53:00.000000000', '2020-07-16T01:37:40.000000000', '2020-07-26T01:05:30.000000000', '2020-08-05T00:57:30.000000000', '2020-08-15T00:03:00.000000000', '2020-08-24T23:48:20.000000256', '2020-09-03T23:02:30.000000000', '2020-09-13T22:51:09.999999744'], dtype='datetime64[ns]') - latitude(n_prof)float64...
- long_name :
- Latitude of the station, best estimate
- standard_name :
- latitude
- units :
- degree_north
- valid_min :
- -90.0
- valid_max :
- 90.0
- axis :
- Y
array([24.833, 24.851, 24.864, 24.942, 24.996, 24.978, 24.856, 24.694, 24.484, 24.26 , 24.072, 24.041, 24.115, 24.261, 24.546, 24.876, 25.167, 25.264, 25.062, 24.694, 24.342, 24.078, 23.966, 23.894, 23.83 , 23.809, 23.761, 23.77 , 23.818, 23.869, 23.894, 23.957, 23.989, 24.061, 24.128, 24.203, 24.255, 24.265, 24.252, 24.251, 24.267, 24.272, 24.26 , 24.247, 24.301, 24.339, 24.418, 24.466, 24.467, 24.46 , 24.448, 24.373, 24.273, 24.165, 24.04 , 23.979, 23.983]) - longitude(n_prof)float64...
- long_name :
- Longitude of the station, best estimate
- standard_name :
- longitude
- units :
- degree_east
- valid_min :
- -180.0
- valid_max :
- 180.0
- axis :
- X
array([-125.289, -125.296, -125.308, -125.284, -125.292, -125.187, -125.033, -124.879, -124.761, -124.667, -124.551, -124.386, -124.157, -124.048, -124.112, -124.225, -124.249, -124.161, -124.027, -123.994, -123.99 , -123.901, -123.76 , -123.687, -123.575, -123.525, -123.495, -123.477, -123.506, -123.539, -123.555, -123.598, -123.662, -123.776, -123.906, -123.979, -124.037, -124.058, -124.168, -124.29 , -124.501, -124.675, -124.922, -125.133, -125.312, -125.528, -125.744, -125.936, -126.08 , -126.183, -126.251, -126.289, -126.378, -126.506, -126.623, -126.721, -126.825]) - position_qc(n_prof)object...
- long_name :
- Quality on position (latitude and longitude)
- conventions :
- Argo reference table 2
array([b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1'], dtype=object) - positioning_system(n_prof)object...
- long_name :
- Positioning system
array([b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS ', b'GPS '], dtype=object) - profile_pres_qc(n_prof)object...
- long_name :
- Global quality flag of PRES profile
- conventions :
- Argo reference table 2a
array([b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A'], dtype=object) - profile_temp_qc(n_prof)object...
- long_name :
- Global quality flag of TEMP profile
- conventions :
- Argo reference table 2a
array([b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A'], dtype=object) - profile_psal_qc(n_prof)object...
- long_name :
- Global quality flag of PSAL profile
- conventions :
- Argo reference table 2a
array([b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A'], dtype=object) - vertical_sampling_scheme(n_prof)object...
- long_name :
- Vertical sampling scheme
- conventions :
- Argo reference table 16
array([b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow:continuous] ', b'Primary sampling: mixed [deep: discrete, shallow: averaged] ', b'Primary sampling: mixed [deep: discrete, shallow: averaged] ', b'Primary sampling: mixed [deep: discrete, shallow: averaged] ', b'Primary sampling: mixed [deep: discrete, shallow: averaged] '], dtype=object) - config_mission_number(n_prof)float64...
- long_name :
- Unique number denoting the missions performed by the float
- conventions :
- 1...N, 1 : first complete mission
array([ 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27., 28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41., 42., 43., 44., 45., 46., 47., 48., 49., 50., 51., 52., 53., 54., 55., 56., 57.]) - pres(n_prof, n_levels)float32...
- long_name :
- Sea water pressure, equals 0 at sea-level
- standard_name :
- sea_water_pressure
- units :
- decibar
- valid_min :
- 0.0
- valid_max :
- 12000.0
- C_format :
- %7.1f
- FORTRAN_format :
- F7.1
- resolution :
- 1.0
- axis :
- Z
array([[ 4.4 , 6. , 8. , ..., 1948.69, 1998.58, nan], [ 4.3 , 6. , 8. , ..., 1998.31, nan, nan], [ 4.4 , 6. , 8. , ..., 1997.05, nan, nan], ..., [ 4.4 , 6. , 8. , ..., 1998.47, nan, nan], [ 4.1 , 6. , 8. , ..., 1948.31, 1998.02, nan], [ 4.2 , 6. , 8. , ..., 1998.19, nan, nan]], dtype=float32) - pres_qc(n_prof, n_levels)object...
- long_name :
- quality flag
- conventions :
- Argo reference table 2
array([[b'1', b'1', b'1', ..., b'1', b'1', nan], [b'1', b'1', b'1', ..., b'1', nan, nan], [b'1', b'1', b'1', ..., b'1', nan, nan], ..., [b'1', b'1', b'1', ..., b'1', nan, nan], [b'1', b'1', b'1', ..., b'1', b'1', nan], [b'1', b'1', b'1', ..., b'1', nan, nan]], dtype=object) - pres_adjusted(n_prof, n_levels)float32...
- long_name :
- Sea water pressure, equals 0 at sea-level
- standard_name :
- sea_water_pressure
- units :
- decibar
- valid_min :
- 0.0
- valid_max :
- 12000.0
- C_format :
- %7.1f
- FORTRAN_format :
- F7.1
- resolution :
- 1.0
- axis :
- Z
array([[ 4.46, 6.06, 8.06, ..., 1948.75, 1998.64, nan], [ 4.38, 6.08, 8.08, ..., 1998.39, nan, nan], [ 4.49, 6.09, 8.09, ..., 1997.14, nan, nan], ..., [ 4.53, 6.13, 8.13, ..., 1998.6 , nan, nan], [ 4.14, 6.04, 8.04, ..., 1948.35, 1998.06, nan], [ 4.33, 6.13, 8.13, ..., 1998.32, nan, nan]], dtype=float32) - pres_adjusted_qc(n_prof, n_levels)object...
- long_name :
- quality flag
- conventions :
- Argo reference table 2
array([[b'1', b'1', b'1', ..., b'1', b'1', nan], [b'1', b'1', b'1', ..., b'1', nan, nan], [b'1', b'1', b'1', ..., b'1', nan, nan], ..., [b'1', b'1', b'1', ..., b'1', nan, nan], [b'1', b'1', b'1', ..., b'1', b'1', nan], [b'1', b'1', b'1', ..., b'1', nan, nan]], dtype=object) - pres_adjusted_error(n_prof, n_levels)float32...
- long_name :
- Contains the error on the adjusted values as determined by the delayed mode QC process
- units :
- decibar
- C_format :
- %7.1f
- FORTRAN_format :
- F7.1
- resolution :
- 1.0
array([[nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan], ..., [nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan]], dtype=float32) - temp(n_prof, n_levels)float32...
- long_name :
- Sea temperature in-situ ITS-90 scale
- standard_name :
- sea_water_temperature
- units :
- degree_Celsius
- valid_min :
- -2.5
- valid_max :
- 40.0
- C_format :
- %9.3f
- FORTRAN_format :
- F9.3
- resolution :
- 0.001
array([[19.514 , 19.487 , 19.434 , ..., 2.238 , 2.1871, nan], [19.878 , 19.874 , 19.872 , ..., 2.1787, nan, nan], [19.265 , 19.269 , 19.266 , ..., 2.1867, nan, nan], ..., [23.409 , 23.355 , 23.219 , ..., 2.1657, nan, nan], [23.062 , 23.045 , 22.995 , ..., 2.2072, 2.1604, nan], [23.395 , 23.394 , 23.393 , ..., 2.1934, nan, nan]], dtype=float32) - temp_qc(n_prof, n_levels)object...
- long_name :
- quality flag
- conventions :
- Argo reference table 2
array([[b'1', b'1', b'1', ..., b'1', b'1', nan], [b'1', b'1', b'1', ..., b'1', nan, nan], [b'1', b'1', b'1', ..., b'1', nan, nan], ..., [b'1', b'1', b'1', ..., b'1', nan, nan], [b'1', b'1', b'1', ..., b'1', b'1', nan], [b'1', b'1', b'1', ..., b'1', nan, nan]], dtype=object) - temp_adjusted(n_prof, n_levels)float32...
- long_name :
- Sea temperature in-situ ITS-90 scale
- standard_name :
- sea_water_temperature
- units :
- degree_Celsius
- valid_min :
- -2.5
- valid_max :
- 40.0
- C_format :
- %9.3f
- FORTRAN_format :
- F9.3
- resolution :
- 0.001
array([[19.514 , 19.487 , 19.434 , ..., 2.238 , 2.1871, nan], [19.878 , 19.874 , 19.872 , ..., 2.1787, nan, nan], [19.265 , 19.269 , 19.266 , ..., 2.1867, nan, nan], ..., [23.409 , 23.355 , 23.219 , ..., 2.1657, nan, nan], [23.062 , 23.045 , 22.995 , ..., 2.2072, 2.1604, nan], [23.395 , 23.394 , 23.393 , ..., 2.1934, nan, nan]], dtype=float32) - temp_adjusted_qc(n_prof, n_levels)object...
- long_name :
- quality flag
- conventions :
- Argo reference table 2
array([[b'1', b'1', b'1', ..., b'1', b'1', nan], [b'1', b'1', b'1', ..., b'1', nan, nan], [b'1', b'1', b'1', ..., b'1', nan, nan], ..., [b'1', b'1', b'1', ..., b'1', nan, nan], [b'1', b'1', b'1', ..., b'1', b'1', nan], [b'1', b'1', b'1', ..., b'1', nan, nan]], dtype=object) - temp_adjusted_error(n_prof, n_levels)float32...
- long_name :
- Contains the error on the adjusted values as determined by the delayed mode QC process
- units :
- degree_Celsius
- C_format :
- %9.3f
- FORTRAN_format :
- F9.3
- resolution :
- 0.001
array([[nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan], ..., [nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan]], dtype=float32) - psal(n_prof, n_levels)float32...
- long_name :
- Practical salinity
- standard_name :
- sea_water_salinity
- units :
- psu
- valid_min :
- 2.0
- valid_max :
- 41.0
- C_format :
- %9.3f
- FORTRAN_format :
- F9.3
- resolution :
- 0.001
array([[34.716 , 34.708 , 34.706 , ..., 34.6257, 34.6278, nan], [34.784 , 34.782 , 34.781 , ..., 34.6282, nan, nan], [34.645 , 34.645 , 34.645 , ..., 34.6282, nan, nan], ..., [34.743 , 34.741 , 34.739 , ..., 34.631 , nan, nan], [34.789 , 34.788 , 34.787 , ..., 34.6274, 34.6312, nan], [34.66 , 34.66 , 34.66 , ..., 34.6289, nan, nan]], dtype=float32) - psal_qc(n_prof, n_levels)object...
- long_name :
- quality flag
- conventions :
- Argo reference table 2
array([[b'1', b'1', b'1', ..., b'1', b'1', nan], [b'1', b'1', b'1', ..., b'1', nan, nan], [b'1', b'1', b'1', ..., b'1', nan, nan], ..., [b'1', b'1', b'1', ..., b'1', nan, nan], [b'1', b'1', b'1', ..., b'1', b'1', nan], [b'1', b'1', b'1', ..., b'1', nan, nan]], dtype=object) - psal_adjusted(n_prof, n_levels)float32...
- long_name :
- Practical salinity
- standard_name :
- sea_water_salinity
- units :
- psu
- valid_min :
- 2.0
- valid_max :
- 41.0
- C_format :
- %9.3f
- FORTRAN_format :
- F9.3
- resolution :
- 0.001
array([[34.716 , 34.708 , 34.706 , ..., 34.6257, 34.6278, nan], [34.784 , 34.782 , 34.781 , ..., 34.6282, nan, nan], [34.645 , 34.645 , 34.645 , ..., 34.6282, nan, nan], ..., [34.743 , 34.741 , 34.739 , ..., 34.631 , nan, nan], [34.789 , 34.788 , 34.787 , ..., 34.6274, 34.6312, nan], [34.66 , 34.66 , 34.66 , ..., 34.6289, nan, nan]], dtype=float32) - psal_adjusted_qc(n_prof, n_levels)object...
- long_name :
- quality flag
- conventions :
- Argo reference table 2
array([[b'1', b'1', b'1', ..., b'1', b'1', nan], [b'1', b'1', b'1', ..., b'1', nan, nan], [b'1', b'1', b'1', ..., b'1', nan, nan], ..., [b'1', b'1', b'1', ..., b'1', nan, nan], [b'1', b'1', b'1', ..., b'1', b'1', nan], [b'1', b'1', b'1', ..., b'1', nan, nan]], dtype=object) - psal_adjusted_error(n_prof, n_levels)float32...
- long_name :
- Contains the error on the adjusted values as determined by the delayed mode QC process
- units :
- psu
- C_format :
- %9.3f
- FORTRAN_format :
- F9.3
- resolution :
- 0.001
array([[nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan], ..., [nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan]], dtype=float32) - parameter(n_prof, n_calib, n_param)object...
- long_name :
- List of parameters with calibration information
- conventions :
- Argo reference table 3
array([[[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']], [[b'PRES ', b'TEMP ', b'PSAL ']]], dtype=object) - scientific_calib_equation(n_prof, n_calib, n_param)object...
- long_name :
- Calibration equation for this parameter
array([[[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']], [[b'PRES_ADJUSTED = PRES - surface_pressure ', b'none ', b'none ']]], dtype=object) - scientific_calib_coefficient(n_prof, n_calib, n_param)object...
- long_name :
- Calibration coefficients for this equation
array([[[b'surface_pressure=-0.06 dbar ', b' ', b' ']], [[b'surface_pressure=-0.08 dbar ', b' ', b' ']], [[b'surface_pressure=-0.09 dbar ', b' ', b' ']], [[b'surface_pressure=-0.07 dbar ', b' ', b' ']], [[b'surface_pressure=-0.13 dbar ', b' ', b' ']], [[b'surface_pressure=-0.16 dbar ', b' ', b' ']], [[b'surface_pressure=-0.15 dbar ', b' ', b' ']], [[b'surface_pressure=-0.17 dbar ', b' ', b' ']], [[b'surface_pressure=-0.15 dbar ', b' ', b' ']], [[b'surface_pressure=0.07 dbar ', b' ', b' ']], [[b'surface_pressure=-0.16 dbar ', b' ', b' ']], [[b'surface_pressure=-0.12 dbar ', b' ', b' ']], [[b'surface_pressure=-0.11 dbar ', b' ', b' ']], [[b'surface_pressure=-0.12 dbar ', b' ', b' ']], [[b'surface_pressure=-0.14 dbar ', b' ', b' ']], [[b'surface_pressure=-0.13 dbar ', b' ', b' ']], [[b'surface_pressure=-0.14 dbar ', b' ', b' ']], [[b'surface_pressure=-0.13 dbar ', b' ', b' ']], [[b'surface_pressure=-0.15 dbar ', b' ', b' ']], [[b'surface_pressure=-0.12 dbar ', b' ', b' ']], [[b'surface_pressure=-0.01 dbar ', b' ', b' ']], [[b'surface_pressure=0.09 dbar ', b' ', b' ']], [[b'surface_pressure=-0.09 dbar ', b' ', b' ']], [[b'surface_pressure=0.06 dbar ', b' ', b' ']], [[b'surface_pressure=-0.09 dbar ', b' ', b' ']], [[b'surface_pressure=-0.12 dbar ', b' ', b' ']], [[b'surface_pressure=-0.08 dbar ', b' ', b' ']], [[b'surface_pressure=-0.07 dbar ', b' ', b' ']], [[b'surface_pressure=-0.15 dbar ', b' ', b' ']], [[b'surface_pressure=-0.06 dbar ', b' ', b' ']], [[b'surface_pressure=0.02 dbar ', b' ', b' ']], [[b'surface_pressure=-0.06 dbar ', b' ', b' ']], [[b'surface_pressure=0.02 dbar ', b' ', b' ']], [[b'surface_pressure=-0.08 dbar ', b' ', b' ']], [[b'surface_pressure=-0.04 dbar ', b' ', b' ']], [[b'surface_pressure=0.08 dbar ', b' ', b' ']], [[b'surface_pressure=-0.09 dbar ', b' ', b' ']], [[b'surface_pressure=-0.03 dbar ', b' ', b' ']], [[b'surface_pressure=-0.09 dbar ', b' ', b' ']], [[b'surface_pressure=-0.10 dbar ', b' ', b' ']], [[b'surface_pressure=0.13 dbar ', b' ', b' ']], [[b'surface_pressure=-0.09 dbar ', b' ', b' ']], [[b'surface_pressure=0.02 dbar ', b' ', b' ']], [[b'surface_pressure=-0.09 dbar ', b' ', b' ']], [[b'surface_pressure=-0.01 dbar ', b' ', b' ']], [[b'surface_pressure=0.06 dbar ', b' ', b' ']], [[b'surface_pressure=-0.13 dbar ', b' ', b' ']], [[b'surface_pressure=0.11 dbar ', b' ', b' ']], [[b'surface_pressure=-0.08 dbar ', b' ', b' ']], [[b'surface_pressure=0.05 dbar ', b' ', b' ']], [[b'surface_pressure=-0.12 dbar ', b' ', b' ']], [[b'surface_pressure=-0.09 dbar ', b' ', b' ']], [[b'surface_pressure=-0.12 dbar ', b' ', b' ']], [[b'surface_pressure=-0.10 dbar ', b' ', b' ']], [[b'surface_pressure=-0.13 dbar ', b' ', b' ']], [[b'surface_pressure=-0.04 dbar ', b' ', b' ']], [[b'surface_pressure=-0.13 dbar ', b' ', b' ']]], dtype=object) - scientific_calib_comment(n_prof, n_calib, n_param)object...
- long_name :
- Comment applying to this parameter calibration
array([[[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']], [[b'Pressure adjusted at real time based on most recent valid surface pressure ', b' ', b' ']]], dtype=object) - scientific_calib_date(n_prof, n_calib, n_param)object...
- long_name :
- Date of calibration
- conventions :
- YYYYMMDDHHMISS
array([[[b'20200403170134', b' ', b' ']], [[b'20200403170134', b' ', b' ']], [[b'20200403170134', b' ', b' ']], [[b'20200403170135', b' ', b' ']], [[b'20200403170135', b' ', b' ']], [[b'20200403170135', b' ', b' ']], [[b'20200403170135', b' ', b' ']], [[b'20200403170136', b' ', b' ']], [[b'20200403170136', b' ', b' ']], [[b'20200403170136', b' ', b' ']], [[b'20200403170136', b' ', b' ']], [[b'20200403170136', b' ', b' ']], [[b'20200403170137', b' ', b' ']], [[b'20200403170137', b' ', b' ']], [[b'20200403170137', b' ', b' ']], [[b'20200403170137', b' ', b' ']], [[b'20200403170138', b' ', b' ']], [[b'20200403170138', b' ', b' ']], [[b'20200403170138', b' ', b' ']], [[b'20200403170138', b' ', b' ']], [[b'20200403170139', b' ', b' ']], [[b'20200403170139', b' ', b' ']], [[b'20200403170139', b' ', b' ']], [[b'20200403170139', b' ', b' ']], [[b'20200403170139', b' ', b' ']], [[b'20200403170140', b' ', b' ']], [[b'20200403170140', b' ', b' ']], [[b'20200403170140', b' ', b' ']], [[b'20200619170942', b' ', b' ']], [[b'20200619170942', b' ', b' ']], [[b'20200619170942', b' ', b' ']], [[b'20200403170141', b' ', b' ']], [[b'20200403170141', b' ', b' ']], [[b'20200619170943', b' ', b' ']], [[b'20200619170943', b' ', b' ']], [[b'20200403170142', b' ', b' ']], [[b'20200728190038', b' ', b' ']], [[b'20200403170143', b' ', b' ']], [[b'20200728190038', b' ', b' ']], [[b'20200328070049', b' ', b' ']], [[b'20200619170944', b' ', b' ']], [[b'20200619170944', b' ', b' ']], [[b'20200619170945', b' ', b' ']], [[b'20200728190038', b' ', b' ']], [[b'20200619170945', b' ', b' ']], [[b'20200619170946', b' ', b' ']], [[b'20200728190038', b' ', b' ']], [[b'20200625000206', b' ', b' ']], [[b'20200728190039', b' ', b' ']], [[b'20200728190039', b' ', b' ']], [[b'20200728190039', b' ', b' ']], [[b'20200728190039', b' ', b' ']], [[b'20200805040034', b' ', b' ']], [[b'20200817182437', b' ', b' ']], [[b'20200825023743', b' ', b' ']], [[b'20200904020034', b' ', b' ']], [[b'20200914020037', b' ', b' ']]], dtype=object) - history_institution(n_history, n_prof)object...
- long_name :
- Institution which performed action
- conventions :
- Argo reference table 4
array([], shape=(0, 57), dtype=object)
- history_step(n_history, n_prof)object...
- long_name :
- Step in data processing
- conventions :
- Argo reference table 12
array([], shape=(0, 57), dtype=object)
- history_software(n_history, n_prof)object...
- long_name :
- Name of software which performed action
- conventions :
- Institution dependent
array([], shape=(0, 57), dtype=object)
- history_software_release(n_history, n_prof)object...
- long_name :
- Version/release of software which performed action
- conventions :
- Institution dependent
array([], shape=(0, 57), dtype=object)
- history_reference(n_history, n_prof)object...
- long_name :
- Reference of database
- conventions :
- Institution dependent
array([], shape=(0, 57), dtype=object)
- history_date(n_history, n_prof)object...
- long_name :
- Date the history record was created
- conventions :
- YYYYMMDDHHMISS
array([], shape=(0, 57), dtype=object)
- history_action(n_history, n_prof)object...
- long_name :
- Action performed on data
- conventions :
- Argo reference table 7
array([], shape=(0, 57), dtype=object)
- history_parameter(n_history, n_prof)object...
- long_name :
- Station parameter action is performed on
- conventions :
- Argo reference table 3
array([], shape=(0, 57), dtype=object)
- history_start_pres(n_history, n_prof)float32...
- long_name :
- Start pressure action applied on
- units :
- decibar
array([], shape=(0, 57), dtype=float32)
- history_stop_pres(n_history, n_prof)float32...
- long_name :
- Stop pressure action applied on
- units :
- decibar
array([], shape=(0, 57), dtype=float32)
- history_previous_value(n_history, n_prof)float32...
- long_name :
- Parameter/Flag previous value before action
array([], shape=(0, 57), dtype=float32)
- history_qctest(n_history, n_prof)object...
- long_name :
- Documentation of tests performed, tests failed (in hex form)
- conventions :
- Write tests performed when ACTION=QCP$; tests failed when ACTION=QCF$
array([], shape=(0, 57), dtype=object)
- crs()int32...
- long_name :
- Coordinate Reference System
- grid_mapping_name :
- latitude_longitude
- epsg_code :
- EPSG:4326
- longitude_of_prime_meridian :
- 0.0f
- semi_major_axis :
- 6378137.0
- inverse_flattening :
- 298.257223563
array(-2147483647, dtype=int32)
- title :
- Argo float vertical profile
- institution :
- FR GDAC
- source :
- Argo float
- history :
- 2020-09-15T08:36:57Z boyer convAGDAC.f90 Version 1.2
- references :
- https://www.nodc.noaa.gov/argo/
- user_manual_version :
- 3.1
- Conventions :
- GADR-3.0 Argo-3.0 CF-1.6
- featureType :
- trajectoryProfile
- uuid :
- 1e1a0834-d9c2-4f7f-b6a1-e7d72ea567d8
- summary :
- The U.S. National Centers for Environmental Information (NCEI) operates the Argo Global Data Repository (GADR). For information about organizations contributing data to GADR, see https://www.nodc.noaa.gov/argo/
- file_source :
- The Argo Global Data Assembly Center FTP server at ftp://ftp.ifremer.fr/ifremer/argo
- keywords :
- temperature, salinity, sea_water_temperature, sea_water_salinity
- keywords_vocabulary :
- NCEI Data Types, CF Standard Names
- creator_name :
- Charles Sun
- creator_url :
- https://www.nodc.noaa.gov
- creator_email :
- Charles.Sun@noaa.gov
- id :
- 0173560
- naming_authority :
- gov.noaa.nodc
- standard_name_vocabulary :
- CF-1.6
- Metadata_Conventions :
- Unidata Dataset Discovery v1.0
- publisher_name :
- US DOC; NESDIS; NATIONAL CENTERS FOR ENVIRONMENTAL INFORMATION
- publisher_url :
- https://www.nodc.noaa.gov/
- publisher_email :
- NCEI.Info@noaa.gov
- date_created :
- 2020-09-15T08:36:57Z
- date_modified :
- 2020-09-15T08:36:57Z
- date_issued :
- 2020-09-15T08:36:57Z
- acknowledgment :
- These data were acquired from the US NOAA National Centers for Environmental Information (NCEI) on [DATE] from https://www.nodc.noaa.gov/.
- license :
- These data are openly available to the public Please acknowledge the use of these data with the text given in the acknowledgment attribute.
- cdm_data_type :
- trajectoryProfile
- geospatial_lat_min :
- 23.761
- geospatial_lat_max :
- 25.264
- geospatial_lon_min :
- -126.825
- geospatial_lon_max :
- -123.477
- geospatial_vertical_min :
- 2.9
- geospatial_vertical_max :
- 1999.98
- geospatial_lat_units :
- degrees_north
- geospatial_lat_resolution :
- point
- geospatial_lon_units :
- degrees_east
- geospatial_lon_resolution :
- point
- geospatial_vertical_units :
- decibars
- geospatial_vertical_resolution :
- point
- geospatial_vertical_positive :
- down
- time_coverage_start :
- 2019-03-23T02:09:52Z
- time_coverage_end :
- 2020-09-13T22:38:46Z
- time_coverage_duration :
- point
- time_coverage_resolution :
- point
- gadr_ConventionVersion :
- GADR-3.0
- gadr_program :
- convAGDAC.f90
- gadr_programVersion :
- 1.2
Exploring data¶
In [49]:
time_str=data.juld.dt.strftime('%Y-%m-%d %H:%M:%S')
time_str2=data.juld.dt.strftime('%y-%m-%d')
time=pd.to_datetime(time_str.values)
time2=pd.to_datetime(time_str2.values)
In [50]:
days=(time-time[0]).days
In [51]:
fig=plt.figure(figsize=(12,8))
# Setting parent axes
ax1=fig.add_subplot(2,1,1,projection=ccrs.PlateCarree())
cf=ax1.scatter(data.longitude,data.latitude,s=6,c=days,cmap='inferno')
gl1 = ax1.gridlines(crs=ccrs.PlateCarree(), draw_labels=True,
linewidth=1, color='gray', alpha=0.6, linestyle='--')
gl1.xlabel_style = {'size': 16, 'color': 'black',}
gl1.ylabel_style = {'size': 16, 'color': 'black'}
# gl1.xformatter = LONGITUDE_FORMATTER
ax1.coastlines(resolution='10m')
ax1.set_extent((-140,-90,10,30))
ax1.stock_img()
# ax1.add_feature(cfeature.LAND)
# ax1.set_title('Argo float trajectorie',y=1.2)
# Setting child figure
ax2=fig.add_subplot(2,1,2,projection=ccrs.PlateCarree())
ax1,ax2,ax11=zoomed_ax(ax1,ax2,[-128,23,5,3],(-128,-123),(23,26),'k')
ax2.scatter(data.longitude,data.latitude,s=20,c=days,cmap='inferno')
gl2 = ax2.gridlines(crs=ccrs.PlateCarree(), draw_labels=True,
linewidth=1, color='gray', alpha=0.6, linestyle='--')
gl2.xlocator = mticker.FixedLocator(np.arange(-128, -122,1))
gl2.xlabel_style = {'size': 16, 'color': 'black',}
gl2.ylabel_style = {'size': 16, 'color': 'black'}
# gl2.xformatter = LONGITUDE_FORMATTER
ax2.stock_img()
# Setting cbar
cax= fig.add_axes([ax2.get_position().x1+0.07,ax2.get_position().y0,0.015,ax2.get_position().height])
cbar=plt.colorbar(cf,cax=cax,orientation="vertical",pad=0.15)
cbar.set_label('Days from [m/s]',fontsize=16)
cbar.ax.tick_params(labelsize=16)
plt.subplots_adjust(hspace=0.4)
plt.show()
Profiles of temperature are displayed for each profile registered by argo float
In [52]:
plt.figure(figsize=(9,6))
data.temp_adjusted.T.plot()
plt.gca().invert_yaxis()
plt.gca().set_title('Profiles of temperature registered by argo float',y=1.15)
ax2 = plt.gca().twiny()
ax2.plot(time,np.linspace(0,1,len(data.temp)),zorder=2)
date_form = DateFormatter("%y-%m")
ax2.xaxis.set_major_formatter(date_form)
plt.xticks(rotation=20)
# ax.xaxis.set_major_locator(mdates.MonthLocator(interval=10))
ax2.grid(False)
plt.show()
Choosing a profile¶
In [53]:
nprof = 25 #Specify a profile to plot
In [54]:
# Profile Plot
fig=plt.figure(figsize=(6,7))
ax=plt.subplot(111)
ax.plot(data.temp_adjusted[nprof], data.pres_adjusted[nprof])
ax.set_xlabel('Temperature (C)')
ax.set_ylabel('Pressure (dbar)')
ax.set_title('Argo Profile from %s' % data.juld[nprof].dt.strftime('%a, %b %d %H:%M').values)
simpleaxis(ax)
plt.gca().invert_yaxis() #Flip the y-axis
Oceanographic profiles and T-S diagrams
In [55]:
# Profile Plot
# Subplot example
fig, (ax1,ax2) = plt.subplots(1,2, sharey=True, figsize=(12,7))
nprof = 0 # Spring profile
ax1.plot(data.temp_adjusted[nprof], data.pres_adjusted[nprof], label=data.juld[nprof].dt.strftime('%Y-%m-%d').values)
ax2.plot(data.psal_adjusted[nprof], data.pres_adjusted[nprof])
nprof = 12 # Summer profile
ax1.plot(data.temp_adjusted[nprof], data.pres_adjusted[nprof], label=data.juld[nprof].dt.strftime('%Y-%m-%d').values)
ax2.plot(data.psal_adjusted[nprof], data.pres_adjusted[nprof])
nprof = 21 # Autunm profile
ax1.plot(data.temp_adjusted[nprof], data.pres_adjusted[nprof], label=data.juld[nprof].dt.strftime('%Y-%m-%d').values)
ax2.plot(data.psal_adjusted[nprof], data.pres_adjusted[nprof])
nprof = 31 # Winter profile
ax1.plot(data.temp_adjusted[nprof], data.pres_adjusted[nprof], label=data.juld[nprof].dt.strftime('%Y-%m-%d').values)
ax2.plot(data.psal_adjusted[nprof], data.pres_adjusted[nprof])
ax1.set_ylabel('Pressure (dbar)')
ax1.set_xlabel('Temperature (C)')
ax2.set_xlabel('Salinity')
ax1.invert_yaxis()
ax1.legend()
simpleaxis(ax1)
simpleaxis(ax2)
# Add some gridlines
ax1.grid()
ax2.grid()
# Add a super title
fig.suptitle('Argo Float #%d' % data.platform_number[nprof].values, fontsize=16);
TS diagram¶
In [56]:
fig,ax=plt.subplots(1,1,figsize=(9,6))
x = np.arange(33, 35, .1)
y = np.arange(2, 23, .5)
X, Y = np.meshgrid(x, y)
Z = seawater.eos80.dens0(X,Y)-1000
# Plot the contour lines
CS = ax.contour(X, Y, Z, colors='grey', linestyles='dashed', levels=np.arange(22,30,.5))
ax.clabel(CS, inline=1, fontsize=10, fmt='%0.1f')
# Plot the data
nprof = 25 #Selected profile
sc=ax.scatter(data.psal_adjusted[nprof], data.temp_adjusted[nprof], c=data.pres_adjusted[nprof], cmap='viridis_r')
ax.set(xlabel='Salinity',ylabel='Temperature (°C)')
ax.set_title('Argo Float #%d on %s' % (data.platform_number[nprof].values, data.juld[nprof].dt.strftime('%Y-%m-%d').values), fontweight='bold');
# Add a colorbar
cbh = plt.colorbar(sc,label='Pressure (dbar)');
In [57]:
salinity,temp=data.psal_adjusted[nprof], data.temp_adjusted[nprof]
In [58]:
rho=seawater.eos80.dens0(salinity,temp)[:-2]
press=data.pres_adjusted[nprof][:-2]
In [59]:
p_ave = (press[0:-1] + press[1:, ...]) / 2.
pden_up = seawater.pden(salinity[:-2][0:-1], temp[:-2][0:-1], press[0:-1], p_ave)
pden_lo = seawater.pden(salinity[:-2][1:], temp[:-2][1:], press[1:], p_ave)
mid_pden = (pden_up + pden_lo) / 2.
dif_pden = pden_up - pden_lo
In [60]:
delta_press=np.diff(press) # omite el último dato por ser nan
delta_rho=np.diff(rho[::-1])[::-1]
Static Stability and Brunt Vesala frecuency¶
\begin{equation}
\mathrm{E} = - \frac{1}{\rho} \frac{\partial \rho}{\partial \mathrm{z}} - \frac{g}{C^{2}}
\end{equation}\begin{equation}
\mathrm{E} \approx- \frac{1}{\rho} \frac{\partial \rho}{\partial \mathrm{z}}
\end{equation}
Falta la derivación de la frecuencia de Brunt-vesala
In [61]:
E=-1*(1/rho[:-1])*(delta_rho/(delta_press))
In [62]:
N,b,p=seawater.bfrq(salinity[:-2],temp[:-2],press)
In [63]:
def make_patch_spines_invisible(ax):
ax.set_frame_on(True)
ax.patch.set_visible(False)
for sp in ax.spines.values():
sp.set_visible(False)
In [64]:
fig, ax1 = plt.subplots(1,1,figsize=(6,7))
p1,=ax1.plot(E, press[:-1])
ax1.set_xlabel('Static stability' )
ax1.set_ylabel('Pressure (dbar)')
ax1.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
ax2=ax1.twiny()
ax2.spines["top"].set_position(("axes", 1.2))
make_patch_spines_invisible(ax2)
ax2.spines["top"].set_visible(True)
ax2.grid(False)
p2,=ax2.plot(N, press[:-1])
ax2.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
ax2.set_xlabel('frecuency [cycles/hour]' )
# ax2.xaxis.label.set_color(p2.get_color())
simpleaxis(ax1)
ax1.invert_yaxis() #Flip the y-axis
plt.show()
In [65]:
# plt.plot(delta_rho, depth[:-1])
# plt.plot(dif_pden, depth[:-1])
# plt.xlabel('Static stability ')
# plt.ylabel('Pressure (dbar)')
# plt.title('Argo Profile from %s' % data.juld[nprof].dt.strftime('%a, %b %d %H:%M').values)
# plt.gca().invert_yaxis() #Flip the y-axis
Density profile¶
In [66]:
fig=plt.figure(figsize=(6,7))
ax=plt.subplot(111)
ax.plot(rho, press)
ax.set_xlabel('Density')
ax.set_ylabel('Pressure (dbar)')
ax.set_title('Argo Density Profile from %s' % data.juld[nprof].dt.strftime('%a, %b %d %H:%M').values)
simpleaxis(ax)
plt.gca().invert_yaxis() #Flip the y-axis
In [67]:
x = np.arange(0,50)
X, Y=np.meshgrid(x,press.values)
rho_new=np.tile(rho,len(x))
rho_new_reshape=rho_new.reshape((len(x),len(rho)))
tiempo=np.linspace(0,4,1000)
In [70]:
import matplotlib.patches as patches
from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes
#define Matplotlib figure and axis
fig=plt.figure(figsize=(12,8))
gs = gridspec.GridSpec(3, 2)
ax1 = fig.add_subplot(gs[:2, 0])
ax2 = fig.add_subplot(gs[0, 1])
ax3 = fig.add_subplot(gs[1, 1])
ax4 = fig.add_subplot(gs[2, :])
plt.subplots_adjust(wspace=0.05)
# Main figure with profile
cf=ax1.contourf(X,Y,rho_new_reshape.T,20,cmap='inferno_r')
ax1.invert_yaxis()
ax1.set_ylabel('Pressure (dbar)')
ax1.set(xticklabels=[],xticks=[])
# First zommed axes
location=[20, 250, 10, 100]
limits_x = (20,30)
limits_y = (250, 350)
ax1,ax2,ax11=zoomed_ax(ax1,ax2,location,limits_x,limits_y,'skyblue')
ax11.add_patch(patches.Rectangle((24, 283), 1, 33,facecolor='none',edgecolor='black'))
ax11.axhline(y=300,linestyle='--',color='skyblue',lw=1)
ax2.contourf(X,Y,rho_new_reshape.T,20,cmap='inferno_r')
ax2.invert_yaxis()
ax2.axhline(y=300,linestyle='--',color='skyblue',lw=2)
ax2.add_patch(patches.Rectangle((24, 283), 2, 33,facecolor='none',edgecolor='black'))
# Second zoomed axes
location2=[20, 1500, 10, 100]
limits_x2 = (20,30)
limits_y2 = (1500, 1600)
ax1,ax3,ax12=zoomed_ax(ax1,ax3,location2,limits_x2,limits_y2,'lightcoral')
ax12.add_patch(patches.Rectangle((24, 1533), 1, 33,facecolor='none',edgecolor='white'))
ax12.axhline(y=1550,linestyle='--',color='lightcoral',lw=1)
ax3.contourf(X,Y,rho_new_reshape.T,20,cmap='inferno_r')
ax3.invert_yaxis()
ax3.axhline(y=1550,linestyle='--',color='lightcoral',lw=2)
ax3.add_patch(patches.Rectangle((24, 1533), 2, 33,facecolor='none',edgecolor='white'))
# Creatin colorbar
cax= fig.add_axes([ax3.get_position().x1+0.02,ax3.get_position().y0,0.02,ax1.get_position().height])
cbar=plt.colorbar(cf,cax=cax,orientation="vertical",pad=0.15)
cbar.set_label('Density',fontsize=16)
cbar.ax.tick_params(labelsize=16)
# set-up time series
ax4.set(ylim=(-11,11),xlim=(0,1),ylabel='Amplitud',xlabel='tiempo[s]')
for axis in ['top','bottom','left','right']:
ax11.spines[axis].set_linewidth(2)
ax11.spines[axis].set_color('skyblue')
for axis in ['top','bottom','left','right']:
ax12.spines[axis].set_linewidth(2)
ax12.spines[axis].set_color('lightcoral')
recs1=[]
recs2=[]
vert_delta1=[]
vert_delta2=[]
t=[]
line1,=ax4.plot(t,vert_delta1,color='skyblue')
line2,=ax4.plot(t,vert_delta2,color='lightcoral')
def init():
a=0
return fig,ax1,ax11,ax12,ax2,ax3,ax4
# # # Next we need to create a function that updates the values for the colormesh, as well as the title.
def animate(frame):
vertical_displacement1=10*np.cos(3600*(np.sqrt(E[50]*9.8)/2*np.pi)*tiempo[frame])
vertical_displacement2=10*np.cos(3600*(np.sqrt(E[500]*9.8)/2*np.pi)*tiempo[frame])
rec1=patches.Rectangle((24, 283+vertical_displacement1), 2, 33,facecolor='skyblue',edgecolor='k')
rec2=patches.Rectangle((24, 1533+vertical_displacement2), 2, 33,facecolor='lightcoral',edgecolor='white')
global recs
ax2.add_patch(rec1)
ax3.add_patch(rec2)
recs1.append(rec1)
recs2.append(rec2)
if frame >0:
for i,j in zip(recs1[:-1],recs2[:-1]):
i.set_visible(False)
j.set_visible(False)
vert_delta1.append(vertical_displacement1)
vert_delta2.append(vertical_displacement2)
t.append(tiempo[frame])
line1.set_data(t,vert_delta1)
line2.set_data(t,vert_delta2)
# Finally, we use the animation module to create the animation.
ani = animation.FuncAnimation(
fig, # figure
animate, # name of the function above
frames=260, # Could also be iterable or list
interval=200 # ms between frames
)
plt.close()
In [71]:
HTML(ani.to_jshtml())
Out[71]: